Hanmin Qin
31cef3b8f2
DOC More details about the attributes in MinMaxScaler ( #13029 )
2019-01-30 11:08:41 +11:00
eab7e8b155
DOC Mention StandardScaler ddof ( #12950 )
2019-01-14 21:25:38 +08:00
701144559f
MAINT Remove unused utils.fixes ( #12928 )
...
This continues the work done in https://github.com/scikit-learn/scikit-learn/pull/12639 on dropping the python 2 support by,
- ~~removing unnecessary `from __future__` imports~~
- removing unused `sklearn.utils.fixes` assuming we can agree in https://github.com/scikit-learn/scikit-learn/issues/12927 that `sklearn.utils.fixes` are private as was stated e.g. in https://github.com/scikit-learn/scikit-learn/issues/6616#issuecomment-245109979
2019-01-08 12:43:49 +11:00
acb8106472
MNT Use list and dict comprehension ( #12668 )
2019-01-08 09:32:34 +11:00
952ef6637a
MRG Drop legacy python / remove six dependencies ( #12639 )
2019-01-03 15:50:05 +02:00
0e5feb6bf7
DOC improving import convenience in class examples ( #12846 )
2018-12-23 09:37:43 +08:00
a50c03f975
[MRG] Add pprint for estimators - continued ( #11705 )
...
* add pprint for estimators
* strip color from length, add color option
* Minor cleaning, fixes, factoring and docs
* Added some basic tests
* Fixed line length issue
* fixed flake8 and added visual test for review
* Fixed test
* Fixed Python 2 issues (inspect.signature import)
* Trying to fix flake8 again
* Added special repr for functions
* Added some other visual tests
* Changed _format_function in to _format_callable
because callable() returns True also for class objects (which we want to
reprensent with their name as well anyway)
* Consistent output in Python 2 and 3
* WIP
* Now using the builtin pprint module
* pep8
* Added changed_only param
* Fixed printing when string would fit in less than line width
* Fixed printing of steps parameter
* Fixed changed_only param for short estimators
* fixed pep8
* Added some more description in docstring
* changed_only is now an option from set_config()
* Put _pprint.py into sklearn/utils, added tests
* Added doctest NORMALIZE_WHITESPACE where needed
* Fixed tests
* fix test-doc
* fixing test that passed before....
* Fixed tests
* Added test for changed_only and long lines
* typo
* Added authors names
* Added license file
* Added ellipsis based on number of elements in sequence + added increasinly aggressive repr strategies
* Updated whatsnew
* dont use increaingly aggressive strategy
* Fixed tests
* Removed LICENSE file and put license text in _pprint.py
* fixed test_base
* Sorted parameters dictionary for consistent output in 3.5
* Actually using OrderedDict...
* Addressed comments
* Added test for NaN changed parameter
* Update whatsnew
* Added example to set_config()
* Removed example
* Added example in gallery
* Spelling
2018-12-19 23:48:21 -05:00
2bd87f6ed8
Remove python < 3.5 from CI ( #12746 )
2018-12-14 10:53:12 +01:00
3a884c5ee5
DOC change "cumulative density" to "cumulative distribution" ( #12754 )
2018-12-11 21:02:26 +01:00
0b85b0a922
FIX use ellipsis in PowerTransformer doctest ( #12595 )
2018-11-15 11:31:16 +01:00
042843a2dd
FIX YeoJohnson transform lambda bounds ( #12522 )
2018-11-08 18:57:40 +11:00
a028416609
DOC Add details to StandardScaler calculation ( #12446 )
2018-11-04 23:12:26 +08:00
e67e30cec2
Fix numpy vstack on generator expressions ( #12467 )
...
* Workaround vstack issue with genxp
* Use list comprehensions instead of genexps with np.vstack
* Add changelog entry.
2018-10-29 11:40:05 -04:00
5af272ac61
MNT Remove unused variables ( #12230 )
2018-10-22 12:48:40 +11:00
a5fa7d3e6f
[MRG] Fast PolynomialFeatures on CSR matrices ( #12197 )
2018-10-19 10:55:14 +02:00
53069c209c
DOC Change i.e. to e.g. in MinMaxScaler ( #12415 )
2018-10-18 23:56:05 +02:00
0f94f2962b
MNT simple deprecations and removals for 0.21 ( #12238 )
...
Part of #11992 .
These were all the things that seemed pretty straight-forward. It's actually a bit bulky but should still be easy to review, hopefully.
2018-10-11 14:56:37 -04:00
bbb0d935f5
[MRG] FIX Update power_transform docstring and add FutureWarning ( #12317 )
2018-10-10 07:53:26 +02:00
b020f62250
MNT Apply pep8 to docs code ( #12275 )
2018-10-05 22:51:42 +08:00
3e5777a0bd
[MRG] Fast PolynomialFeatures on dense arrays ( #12251 )
2018-10-03 19:06:07 +02:00
76d763be80
DOC added to preprocessing docstring examples ( #11752 )
2018-08-07 15:24:05 +03:00
adddf00433
[MRG] np.ones -> np.full ( #11628 )
2018-07-23 09:49:01 +02:00
2d232acdeb
[MRG] Add Yeo-Johnson transform to PowerTransformer ( #11520 )
2018-07-20 22:32:12 +02:00
5592a2eda9
[MRG] PyPy support for all but a couple of estimators ( #11010 )
2018-07-20 14:39:53 +10:00
f8adfa27ae
[MRG] Ignore and pass-through NaNs in RobustScaler and robust_scale ( #11308 )
2018-07-05 16:34:31 +02:00
f43dd0e650
ENH Ignore and pass-through NaN values in MaxAbsScaler and maxabs_scale ( #11011 )
2018-06-23 19:15:01 +10:00
c1bc665958
ENH ignore NaNs in PowerTransformer ( #11306 )
2018-06-22 08:22:24 +10:00
5718466bb5
[MRG] ENH: Ignore NaNs in StandardScaler and scale ( #11206 )
2018-06-21 15:48:38 +02:00
007aa710bd
FEA Refactor CategoricalEncoder into OneHotEncoder and OrdinalEncoder ( #10523 )
...
Deprecated some OneHotEncoder behaviour
2018-06-21 19:27:41 +10:00
a4f8e3d2a2
FIX: enforce consistency between dense and sparse cases in StandardScaler ( #11235 )
2018-06-14 19:18:39 +10:00
4272bbad0c
[MRG] EHN ignore nan in minmax_scale ( #11243 )
2018-06-12 15:09:16 +02:00
a6028fc059
BUG: Ensure OneHotEncoder outputs sparse matrix with given dtype ( #11042 )
2018-06-06 10:59:27 +02:00
3e26fc63be
MAINT Fixing Typos ( #11017 )
2018-04-24 09:32:25 +10:00
f1aedf661a
[MRG+1] NaN handling MinMaxScaler ( #11005 )
2018-04-21 22:49:36 +02:00
c3548a8e29
[MRG] EHN handle NaN value in QuantileTransformer ( #10437 )
2018-04-21 19:06:10 +02:00
2b1c5ef285
DOC Update an outdated docstring from sklearn.preprocessing.RobustScaler ( #10940 )
2018-04-09 21:30:18 +08:00
20661b5018
TST: only run doctests on numpy 1.14. ( #10835 )
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Fix doctests due to numpy 1.14 formatting changes.
2018-03-27 07:44:40 +02:00
986cbda477
DOC: fix typo in StandardScaler docstring ( #10779 )
2018-03-08 15:59:41 +01:00
a97e78b01a
[MRG] MAINT: remove even more old scipy related code ( #10721 )
2018-03-01 07:52:10 +11:00
727314b2fe
[MRG+1] Fix FutureWarning in CategoricalEncoder due to np.issubdtype ( #10507 ) ( #10510 )
2018-01-23 07:39:21 +01:00
b94876a3a2
[MRG+1] ENH Polynomial features for sparse data ( #10452 )
2018-01-11 02:55:19 -08:00
c3bdc0a89a
DOC clean up assorted type specifications ( #10441 )
2018-01-11 09:11:17 +11:00
cec3458b03
DOC Fix broken links in docs ( #10353 )
2017-12-22 18:23:29 +01:00
d8483dfee0
[MRG+1] ENH Add standardize flag to PowerTransformer ( #10316 )
2017-12-14 11:22:27 +01:00
62e9bb8def
Feature: Implement PowerTransformer ( #10210 )
2017-12-06 08:29:10 +11:00
a2ebb8cfd2
ENH: new CategoricalEncoder class ( #9151 )
2017-11-21 20:03:41 +11:00
89b02af431
[MRG+1] EHN Accept 1D array for preprocessing functions and update doc ( #9596 )
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* EHN/TST robust_scale accepts 1D array
* DOC update doc for preprocessing functions
2017-08-22 19:08:47 +03:00
f6c7080ee5
DOC Clarify RobustScaler behavior with sparse input ( #8858 )
2017-07-29 22:23:46 +10:00
93c17f1380
[MRG+1] Added examples to docstrings of MinMaxScaler and StandardScaler ( #9380 )
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[MRG+2] Added examples to docstrings of MinMaxScaler and StandardScaler
2017-07-18 15:13:10 -07:00
b6f8865b0a
[MRG + 1 (rv) + 1 (alex) + 1] Add a check to test the docstring params and their order ( #9206 )
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* add automatic test of docstrings for function / method signatures using numpydoc
2017-07-11 18:42:10 +02:00
Hanmin Qin
MarcoGorelli